Global Ship Lease (GSL) Inventory (2014 - 2026)
Global Ship Lease (GSL) posted Inventory of $22.36 million for the quarter ended Jun 30, 2026, up 23.7% from $18.08 million a year earlier and up 50.6% from the prior quarter.
Global Ship Lease (GSL) Inventory (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Global Ship Lease's Inventory came in at $14.6 million, down 22.8% from the prior year.
- Annual Inventory shows a five-year compound annual growth rate of 18.2% (years ended Dec 2020 to Dec 2025).
- In prior years, Global Ship Lease's Inventory was $18.91 million in the year ended Dec 31, 2024 (+19.9%), $15.76 million in the year ended Dec 31, 2023 (+28.8%), $12.24 million in the year ended Dec 31, 2022 (+7.2%) and $11.41 million in the year ended Dec 31, 2021 (+80.7%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Inventory in data going back to the quarter ended Jun 30, 2014.
- On a year-over-year basis, Inventory increased in five of the last eight quarters, with growth averaging 3.9%.
- The strongest year-over-year quarter for Inventory in the past five years was the quarter ended Jun 30, 2022, with growth of 85.2%; the weakest was the quarter ended Dec 31, 2025, with a decline of 22.8%.
- According to Business Quant data, Inventory for the three prior quarters was $14.84 million (quarter ended Mar 31, 2026), $14.6 million (quarter ended Dec 31, 2025) and $13.39 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 919.00 Mn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 406.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 391.83 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 327.00 Mn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.56 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 5.35 Mn |
| 10 | Global Ship Lease | 300.94 Mn | 300.94 Mn | - | 22.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.36 Mn |
| Mar 31, 2026 | 14.84 Mn |
| Dec 31, 2025 | 14.60 Mn |
| Sep 30, 2025 | 13.39 Mn |
| Jun 30, 2025 | 18.08 Mn |
| Mar 31, 2025 | 16.34 Mn |
| Dec 31, 2024 | 18.91 Mn |
| Sep 30, 2024 | 15.76 Mn |
| Jun 30, 2024 | 15.57 Mn |
| Mar 31, 2024 | 15.24 Mn |
| Dec 31, 2023 | 15.76 Mn |
| Sep 30, 2023 | 14.11 Mn |
| Jun 30, 2023 | 13.40 Mn |
| Mar 31, 2023 | 11.54 Mn |
| Dec 31, 2022 | 12.24 Mn |
| Sep 30, 2022 | 11.56 Mn |
| Jun 30, 2022 | 11.95 Mn |
| Mar 31, 2022 | 10.99 Mn |
| Dec 31, 2021 | 11.41 Mn |
| Sep 30, 2021 | 9.26 Mn |
Global Ship Lease Inventory API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=inventory&ticker=GSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "GSL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=GSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();